2024

2023

Portefølje Naturvitenskap og teknologi ikon

The research system

Portefølje Humaniora og samfunnsvitenskap ikon

Ground-breaking research

Portefølje Samisk ikon

Sámi society and culture

Portefølje Demokrati, styring og fornyelse ikon

Democracy and global development

Portefølje Velferd, kultur og samfunn ikon

Welfare, culture and society

Portefølje Helse ikon

Health

Portefølje Klima- og polarforskning ikon

Climate and environment

Portefølje Landbasert mat, miljø og bioressurser ikon

Land-based food, the environment and bioresources

Portefølje Energi, transport og lavutslipp ikon

Energy and transport

Portefølje Muliggjørende teknologier ikon

Enabling technologies

Portefølje Industri og tjenestenæringer ikon

Innovation

LTP Climate, environment and environmentally friendly energy

Climate and loss of natural diversity

Internationalization

Societal security and civil preparedness

Renewal in the public sector

Velferdstjenester

Frontpage Image

Marine icon

Petroleum og mineraler

LTP Hav ikon

Oceans and coastal areas

LTP2 Muliggjørende og industrielle teknologier ikon

Enabling and industrial technologies

Trust and community

Professional environment

High quality and accessibility

LTP Climate

Strengthened competitiveness and innovation capacity

LPT Health

 An innovative business community

LTP3 Helse

Portefolje Petroleum Ikon

Portefølje Hav ikon

Portefølje Utdanning og kompetanse ikon

Portefølje Global utvikling og internasjonale relasjoner ikon

Portefølje Livsvitenskap ikon

LTP2 Styrket konkurransekraft og innovasjonsevne ikon

LTP2 Utvikle fagmiljøer av fremragende kvalitet

LTP2 Samfunnssikkerhet og samhørighet ikon

LTP2 Fornyelse i offentlig sektor ikon

LTP2 Klima, miljø og miljøvennlig energi ikon

Forsidebilde optimalisert

project-bank-technical

Et innovativt næringsliv ikon

Muliggjørende teknologier bakgrunn

Marin bakgrunnsbilde

Marin ikon

Forsidebilde

Statistics

Prosjektbanken presenterer statistikk og informasjon om prosjekter med finansiering fra Forskningsrådet fra 2004. Statistikken er fordelt på blant annet tema, år, geografi og organisasjon. Prosjektbanken gir også detaljert informasjon om de enkelte prosjektene.

...or see the summary and other information about the projects you have selected

Portfolios

En god beskrivelse av denne siden for søkemotoroptimalisering

Forside

How the grants are distributed between organisations, counties, subject areas etc....

Here are some examples of searches you can perform in the Project Databank

All long term plan objectives

About Text Queries

No thematic area or topic related to the project

has received funding in the programme period

No popular science description is available

have received funding in the programme period

The project with project number {{project number}} was not found

Technical description

Woops, something went wrong. Please refresh the page. If the error persists, please contact us.

We could not find what you were looking for

See statistics related to this LTP objective

See projects related to this LTP objective

related to this LTP objective have received grants

has been granted to projects related to this LTP objective

has been granted to projects related to this portfolio

related to this portfolio have received grants

About Prosjektbanken

Diverse

Klima- og miljødepar

Kunnskapsdepartement

Landbruks- og matdep

Matematikk og naturvitenskap

Agder

LTP3 Styrket konkurransekraft og innovasjonsevne

LTP3 Et kunnskapsintensivt næringsliv i hele landet

LTP3 Klima, miljø og energi

LTP3 Bioøkonomi og forvaltning

LTP3 Muliggjørende og industrielle teknologier

LTP3 IKT og digital transformasjon

UoH-sektor

Instituttsektor

Næringsliv

Helseforetak

Offentlig sektor

Øvrige

Ukjent Sektor

Utlandet

ukjent

Portefølje Mat og bioressurser

Portefølje Muliggjørende teknologier

Programmer

Innovasjonsprosjekt

Landbruk

FNs Bærekraftsmål

Bioøkonomi

Bransjer og næringer

Digitalisering og bruk av IKT

IKT forskningsområde

Politikk- og forvaltningsområder

Anvendt forskning

Klimarelevant forskning

Algebraic Theory of Information Quantities

Information theory is a discipline at the intersection of statistics, engineering and computer science. As the study of information quantities, such as compression or communication capacities, information content or measures of statistical dependency, it is one of the theoretical underpinnings of data science.

Computational problems in information theory are highly non-linear. The goal of this project is to transfer state-of-the-art methods of computational non-linear algebra to information theory, to study the inherent algebraic complexity of information-theoretical problems and to provide tools for solving them in practice. The algebraic point of view has proven to be fruitful in seemingly unrelated areas, as witnessed by a surge of recent work in algebraic statistics, in particular on likelihood geometry. However, maximizing the likelihood function is the same as minimizing relative entropy — a specific information quantity. Hence, this project also aims at generalizing the techniques developed in likelihood geometry.

One focus is on the practical computation of information quantities using numerical and differential algebraic geometry. Such quantities are defined via non-linear optimization problems and we aim to pinpoint the algebraic complexity of these problems in instances of general interest, such as common information measures. The final objective is finding fundamental laws and limits of data science imposed by non-linear inequalities constraining the entropic region. These inequalities provide, by duality, universal bounds for many of the optimization problems studied in information theory.

WHeelchair Activity Monitoring project (WHAM)

Wheelchair users (WCU) are three to five times more inactive than the general population, leading to a high risk of developing preventable secondary conditions. Although physical activity (PA) guidelines have been specifically developed for WCU, we lack systematic approaches to implement them in practice, as well as valid algorithms to monitor PA change in WCU through sensor-based solutions. Accordingly, the overall scientific aim of the WHeelchair Activity Monitoring project (WHAM) is to advance PA research and practice in WCU by developing valid digital markers for monitoring of and providing feedback on PA, paving the way for implementation and intervention. I will accomplish this through combining the complementary research fields of 1) behavioural intervention studies focusing on increasing PA in WCU (core competence University of British Columbia, UBC; outgoing phase) and 2) sensor-based PA monitoring (core competence Norwegian University of Science and Technology, NTNU; returning phase – consolidated by non-academic placement at Maastricht Instruments, which develop research prototypes including PA monitors). WHAM’s scientific aim is achieved through three objectives: 1) Measure the effect of a pragmatic exercise intervention trial on self-reported physical activity levels and cardio-respiratory fitness, 2) Develop valid algorithms for tracking PA markers in WCU, and 3) Co-create a framework that outlines how PA can be conjointly monitored and provided feedback on in WCU. This fellowship will enable me to become established as an internationally recognized researcher in the field of “physical activity and disability”, while bringing together ongoing national disjointed research activities in this field. Altogether, my overall ambition is to contribute to reducing inequalities in daily-life participation among WCU compared to the rest of the population.

EOSC Beyond: advancing innovation and collaboration for research

EOSC Beyond overall objective is to advance Open Science and innovation in research in the context of the European Open Science Cloud (EOSC) by providing new EOSC Core capabilities allowing scientific applications to find, compose and access multiple Open Science resources and offer them as integrated capabilities to researchers. To do so, EOSC Beyond supports a new concept of EOSC: a federated and integrated network of Nodes operated at different levels, national, regional, international and thematic, to serve the specific scientific missions of their stakeholders. Further specific objectives of the project are to accelerate ‘time to product’ of new scientific applications with software adapters, enable Open Science with machine composability and dynamic deployment of shared resources, support innovation in EOSC with a testing and integration environment, and align the EOSC Core architecture and specifications to integrate with European dataspaces. The project extends the state of the art of the EOSC Core and adopts a co-design methodology, including requirements elicitation, software development and validation in collaboration with different use cases from EOSC national and regional initiatives (e-Infra CZ, Czechia, NFDI, Germany, and NI4OS, South East Europe region), thematic research infrastructures from Social Sciences and Humanities (CESSDA), Life Sciences (CNB-CSIC and Instruct-ERIC), Environmental Science (ENES and LifeWatch), and Health and Food (METROFood-RI). EOSC Beyond builds on the capacities of prospective EOSC Nodes and partners with multi-annual experience in developing solutions for large-scale federated digital infrastructures and aligns with the technical architecture and requirements of data spaces from different business sectors. Ultimately, EOSC Beyond supports Open Science in modern, data-intensive, and multidisciplinary research, facilitating resource discovery, access, and reuse across scientific communities, organisations, and countries.


Harmonization of Advanced Materials Ecosystems serving strategic Innovation Markets to pave the way to a Digital Materials & Product Passport

The overarching objective of DigiPass is to enhance the digital maturity of the European communities that develop materials and intermediate products. The project will develop recommendations and clear routes toward digitalized circular business models. The overarching key result of DigiPass is to create a sustainable platform which includes support for Digital Materials & Product Passport and for collaborative innovation-by-design processes in a circular economy served by advanced materials. A business model for operating such a platform completes the overarching objective.
DigiPass is harmonizing and synergizing collected materials data sources and digital infrastructures. This will enable interoperability of data exchange, and standardization of advanced materials knowledge representation at all maturity levels. Accelerating the design, development, and production of advanced, safe, and sustainable chemicals and materials, as they are necessary for innovative products, calls for a collaborative approach involving different stakeholders to support durability, repair and overhaul, reuse, and recyclability of products. DigiPass project impacts all materials development communities over the whole circular value chain. 


Enhanced X(cross)-disciplinary Community-driven Imaging Technologies for Earth and Environmental material research

The EXCITE² Network is revolutionizing Earth and environmental material science research by consolidating a critical mass of 18 research facilities in 12 European and associated partner countries into a unified infrastructure and providing transnational access to advanced imaging technologies. This enables scientists to decipher complex processes within Earth materials at scales from nanometres to hundreds of centimetres, gaining unparalleled insight into the chemical and physical processes that govern, among others, environmental toxicity and its impact on human health, critical metal extraction for renewable energies, and the utilisation of Earth materials as long-term storage for climate-altering gases. The consortium fosters knowledge-sharing and talent attraction, bolstering the problem-solving capacity of the European Research Area. Moreover, EXCITE² is driving interdisciplinary collaboration and cross-fertilisation across academic institutions, scientific disciplines, and industry, propelling Europe towards a sustainable future. The initiative offers dedicated training programmes to a new generation of researchers within the European open science landscape, paired with access to world-class imaging facilities and expertise for problem-solving research and innovation. EXCITE² is introducing innovative service developments, such as artificial intelligence and leading-edge imaging experiments, to increase the user's problem-solving capacity. In addition, the consortium is implementing customised project valorisation strategies to maximize the impact of research outcomes in academia, society, and the economy. Citizen science projects allow the public to participate directly within the EXCITE² Network, contributing to solving EU challenges. As such, EXCITE² is paving the way towards a sustainable future, driving scientific excellence, and creating positive societal impact.

Engineering carbon quantum dots for zinc ion hybrid capacitors

Zinc ion hybrid capacitors (ZIHCs) integrate two energy storage mechanisms of battery-type electrode and capacitive electrode, bearing the advantages in energy density, power density, and safety. Until now, the cycle retention rate of ZIHC's capacity reported is still not more than 80%, restricting its development and commercial application severely. Focusing on the issue, the project aims at overcoming the limitation of traditional electrode materials and re-defining the designing concept to construct Carbon Quantum Dots (C-QDs) for ZIHCs. Advanced methods will be used to harvest carbon quantum dots from coal tar pitch (a sort of industrial solid castoff). The bulk sp2-carbon network, innumerable edge sites, profuse surface functional groups, and regular size ensures that as-synthesis C-QDs have high electrical conductivity, sufficient ion transport channels and rich adsorption sites. Moreover, the new concept of dynamic evolution is introduced for insight into the structure and interface failure of ZIHC's electrode. The interface-reconstruction mechanism and the attenuation model of capacity will be established for the first time. Further, the methods to strengthen structures of C-QD electrode will be developed based on a trade-off strategy. The ultimate goal is to improve the energy storage efficiency of ZIHCs by 20% and to increase their cycle performance more than 95% unprecedentedly. This research will develop long-running high performance ZIHCs, for contributing European energy storage industry. The ER will achieve abundant research experience and scientific skills from the project and the capability to launch her own research group in future.

IMProving User experience, Long-term sustainability and Services of EU-OPENSCREEN

EU-OPENSCREEN (EU-OS), the distributed European Research Infrastructure for Chemical Biology and early drug discovery, provides world-class services in high-throughput compound screening and medicinal chemistry to users from academia and industry. As one of the largest open-access initiative globally, EU-OPENSCREEN plays an increasingly important role in facilitating early stage drug discovery in Europe. It recently integrated fragment-based drug discovery and chemoproteomics as two new services, but the increasing complexity of modern drug discovery projects requires an even more comprehensive portfolio and integration of emerging technologies. To ensure that EU-OS continues to offer a comprehensive suite of relevant services and support a growing user community to conduct forefront research, IMPULSE will develop, validate and integrate new services in AI/ML, new chemical modalities, and innovative disease-relevant cell models combined with CRISPR-Cas9/RNAi-based genetic screening. IMPULSE will work towards the implementation of common operational and data standards to increase data reproducibility and FAIRness. Bespoke outreach and training activities will raise awareness among key user groups of its new services and advance operational excellence and reproducibility in pre-clinical drug discovery. New models for pre-competitive drug discovery with industry or charities, and growing ERIC member community will reinforce the sustainability and accessibility of EU-OPENSCREEN.

Aqua Research Infrastructure Services for the health and protection of our unique, oceans, seas and freshwater ecosystems

AQUARIUS will provide a highly comprehensive suite of integrated research infrastructures appropriate to addressing significant challenges for the long-term sustainability of our unique oceans, seas and freshwater ecosystems. For the first time, diverse research infrastructures will be combined to facilitate the work of researchers and key stakeholders focused on challenges and opportunities for both marine and freshwater systems. An impressive range of 57 research infrastructure services will be made available to include research vessels, mobile marine observation platforms, aircraft,  drones, satellite, sensors, fixed freshwater and marine observatories and test sites, experimental facilities, and sophisticated data infrastructures. AQUARIUS will support the development phase of the EU Mission to Restore our Ocean and waters by 2030, the Sustainable Blue Economy Partnership, the European Green Deal, and international climate initiatives. It will also be an essential component in achieving the European Digital Twin of the Ocean and the UN Decade for Ocean Sciences. The needs of researchers will be met through a robust and transparent system of transnational access funding Calls, facilitated by centralised user-friendly access portal. The Call programme will be informed through stakeholder engagement and brokerage events. Projects to be selected for Access must convincingly integrate multiple infrastructures and contribute to the core policy objectives of Mission Ocean, that is, to protect and restore marine and freshwater ecosystems and biodiversity; to prevent and eliminate pollution of our oceans, seas and waters; and to ensure a sustainable, carbon-neutral and circular blue economy. A thematic and geographic focus will be the hallmark of the proposed transnational Calls, aligning with the Lighthouse Regions, that is, the Baltic and the North Sea Basins, Black Sea, Atlantic/Arctic, and Mediterranean Sea along with their associated rivers.

EOSC-ENTRUST: A European Network of TRUSTed research environments

The mission of EOSC-ENTRUST is to create a European network of trusted research environments for sensitive data and to drive European interoperability by joint development of a common blueprint for federated data access and analysis. 
Countries and institutions have made significant investments in secure and trusted data environments to meet the need for research and policy-driven analysis of sensitive datasets such as people's health and socio-economic status, the habitats of vulnerable species and geo-spatial locations of protected sites. There are now a large number of such secure environments in operation - linked to national centres, individual organisations or specific research communities. This fragmented landscape poses challenges for both users and providers: researchers are faced with a large number of different systems and access procedures; providers need to manage federated access across multiple, potentially incompatible, technology and governance frameworks.
EOSC-ENTRUST brings together providers of operational Trusted Research Environments from 15 European countries with a shared goal to implement, validate and promote their capabilities through a common European framework using shared standards and common legal, operational and technical language. This blueprint for interoperability is anchored in the EOSC Interoperability Framework spanning the four dimensions of Legal, Organisational, Technical and Semantic interoperability. EOSC-ENTRUST has identified four driver projects covering Genomics, Clinical trials, Social science, and public-private partnerships to benchmark capabilities, inform blueprint design and demonstrate secure  data analysis using federated workflows.
Targeted outreach activities will expand this open network with further providers and develop policy papers and guidelines for the full range of stakeholders to create a long-term operational TRE framework within the European Open Science Cloud.


Providing research infrastructure services to support Next Generation EU

This four-year project will harness outputs from key social science RIs in Europe and other reliable sources to support the aims of the ‘Next Generation EU’ programme and to inform EU youth policy. Virtual access will be provided to the outputs through special installations (portals) developed during the project. The core of the proposal is a set of existing research ‘services’, which will be re-purposed and customised to focus directly on the five themes: Make it Green; Make it Digital; Make it Healthy; Make it Strong; and Make it Equal. 

For each area, the consortium will work collaboratively to produce seven sets of resources:

i)	A searchable inventory of relevant variables drawn from multiple cross-national datasets; 

ii)	Analytical summaries, suitable for policy makers and analysts new to the field, as well as interactive resources available through the project portal;

iii)	Harmonised and merged extracts from these datasets that reduce the burden on analysts and increase sample sizes;

iv)	New data collected through the ESS’s established CRONOS web panel infrastructure. Eleven countries will field five waves of the panel, each one dedicated to a NextGenEU theme. Free and rapid access to the data will be available through the CRONOS portal alongside analytical summaries;

v)	In-person and virtual deliberative forums with young people (aged 18-34) in four countries covering the five Next Generation EU’ themes;

vi)	An educational tool (E-NextGen) channelling our data for use in classrooms and by the general public;

vii)	Comprehensive training materials related to all project outputs.


Modellering av behandling og rehabilitering av slagpasienter - Bruk av simulering for å vurdere status og planlegge for framtiden

Midlene fra HELSEVEL-H-Gode og effektive helse-, omsorgs- og velferdstjenester fordelt på år

Midlene fra HELSEVEL-H-Gode og effektive helse-, omsorgs- og velferdstjenester fordelt på fylker

Midlene fra HELSEVEL-H-Gode og effektive helse-, omsorgs- og velferdstjenester fordelt på fagområde

Senior Researcher

Hjerneslag er en vanlig årsak til sykdom, uførhet og død. I Norge anslås det at ca. 12 000 personer rammes årlig. Samspillet mellom sykehus, rehabiliteringsinstitusjoner og kommunale tjenester er omfattende og komplisert. I dette prosjektet studeres disse utfordringene for slagpasienter i Norge ved hjelp av statistisk modellering og simulering. Data som allerede er samlet inn for ca. 2 000 innleggelser ved slagenheten ved Akershus universitetssykehus, kombineres med nasjonale pasientdatabaser. Med statistiske modeller undersøkes det hvordan pasientegenskaper som alder, kjønn og bostedskommune henger sammen med utfallsmål som varighet av sykehusopphold, utnyttelse av rehabilitering, angst, depresjon og helserelatert livskvalitet. Det er også samlet inn opplysninger om pårørende til slagpasientene, blant annet for å undersøke om deres mentale og fysiske helse påvirkes av slagtilfellet. I tillegg studeres tidstrender i forekomsten av slag. Analysene viser at det er betydelige regionale forskjeller, men også en sterk nedadgående trend, som mer enn oppveier effekten av eldrebølgen. For yngre folk (under 45 år) er forekomsten lav, men mer uendret over tid. Antall innleggelser i slagenhet av pasienter som viste seg ikke å ha slag er derimot på vei opp, så det blir ikke nødvendigvis lavere behov for kapasitet i landets slagenheter framover. De statistiske modellene som er utviklet, vil sammen med befolkningsmodeller fra Statistisk sentralbyrå kunne gi prognoser for pasientstrømmen gjennom behandlings- og rehabiliteringstilbudene for slagpasienter i Norge. Prosjektet har samarbeidet med et forskningsmiljø i Melbourne og undersøkt forskjeller og likheter i behandling av slag i Norge og Australia.

This project will study the treatment and rehabilitation of stroke patients in Norway through statistical and simulation based modelling.
We will use standard statistical modelling techniques to analyze and represent associations and causal effects among  patient parameters like age, sex, socio-economic status and ethnicity and dependent variables like length of hospital stay, duration of rehabilitation, level of anxiety and depression and health related quality of life. We will develop discrete event simu lation models to describe the different paths that stroke patients follow through treatment and rehabilitation. We plan to make separate sub-models for the different phases of the disease: An Incidence model represents the random events of new stroke case s in the population. A Pre-hospital model represents the phase until hospitalization. A hospital?s stroke unit model represents internal queues, radiology and treatment processes. A rehabilitation model describes factors that govern the utilization of reh abilitation resources. A long-term care model represents duration and level of care, while a municipality model describes the local support that the patient receives. On top of all this we develop a demography model that represents time trends in the popu lation, which enables us to analyze how the treatment-rehabilitation machinery will respond to an ageing population. The analysis will uncover social and ethnic inequalities, as well as suboptimal current use of resources, which can be rectified. The pred ictions of future demands for treatment and rehabilitation will help us to identify bottlenecks before they become a problem. The Ahus project NOR-SPOT has collected detailed follow-up data from 1908 admissions to the stroke unit. In addition we will util ize national databases like the Norwegian Patient Registry. The combination of NOR-SPOT data and more coarse data for the entire Norwegian stroke population will enable us to analyze both in depth and width.

Modelling treatment and rehabilitation of stroke patients - 
Using simulation to evaluate the present and plan for the future

Bondens samfunnsoppdrag har økt i viktighet, ettersom de skal produsere mer mat til flere mennesker på mindre areal og på en mer bærekraftig måte - parallelt med at samfunnets har et økt fokus på verdens matsikkerhet, selvforsyningsgrad og forbedret bærekraft i matproduksjonen. 

For at bonden skal kunne forsøke å innfri disse kravene, må han ha tilgang til verktøy, ressurser, teknologi og ny kunnskap. Dette er premisset for prosjektets samfunnsmessige relevans. Prosjektet søker å skape interoperabilitet mellom ulike teknologiske leverandørtilbydere inn mot bonden, som på sin side vil oppleve det som «one stop shop» og en mer lettvint tilgjengelighet da alle tilbyderne vil kommunisere og være tilgjengelige i samme digitale tjeneste, altså på samme software plattform. Løsningen er altså en databasert tjeneste som gjør det mulig å redusere tidsbruk, forenkle og samkjøre prosesser, og øke bondens muligheter for å bestille tjenester online. 

I dagens situasjon må bonden ta kontakt med hver enkelt leverandør og bestille tjenestene direkte. Ved slutten av SMARAGD-prosjektet er målet at alle er integrert med hverandre slik at det er lettere for bonden å gjøre nytte av jungelen med tilbydere og tjenester. I tillegg skal prosjektet ha et kommersielt perspektiv, hvor bærekraftsperspektivet er synlig og verdien av tverrfaglig samarbeid øker innovasjonsgraden. Prosjektet skal munne ut i en konkret og fungerende tjeneste for bonden.

Despite the availability of smart sensor-based solutions in land-based agriculture, their universal adoption and the potential to address the needs of end users is still limited. On one hand, small agritech providers focus only on a single vertical aspect of a complex precision farming ecosystem and do not offer a holistic unified product. Existing solutions are often based on home-made non-standard data processing architectures, with little interoperability across individual vertical elements. To make use of the collected data, farmers must manually correlate disjoint datasets. On the other hand, large agritech vendors, albeit with an interoperable ecosystem in place, offer generic non-tailored solutions, whereas farmers need information and decision support fine-tuned to their actual needs. To tackle these challenges, it is required to conduct R&D work to enable i) interoperability across siloed vertical agritech services and data sources, ii) end-to-end transformation from disjoint raw datasets into a semantically interoperable open data space, and iii) 'one-stop shop' user experience via an integrated farm management platform for tailored decision support. As a result, individual agritech data sources will be converted into interoperable data assets in a common shared data space and offered to end users in an understandable and tailored manner. Such enriched decision support will allow farmers to maximise productivity and profitability in farm and business operations with reduced manual efforts and costs. To achieve this, the SMARAGD consortium brings together three pillars of precision farming: sensor-based environmental monitoring, aerial spraying and inspection using drones, and harvesting robots. This way, the project will tackle the challenges in a holistic manner, aiming to make the results re-usable by the wider agritech community. Raspberry production will be the pilot to validate the project results at one of the largest berry producers in Norway.

0 projects

BIONÆR-Bionæringsprogram

Smart Agriculture Data Fusion for Decision Support

Awarded: NOK 8.5 mill.

Project Period: 2022-2025

Location: Agder